- Fisheries and Aquaculture
- Forestry
- Natural Resources Recreation & Tourism
- Water & Soil
- Wildlife Ecology & Management
- Facilities/Labs
- Overview
- Aquatic Biotechnology & Environmental Laboratory (ABEL)
- Aquatic Toxiciology Lab
- B. F. Grant Memorial Forest
- Charles Terrell Memorial Timber Farm
- Cohutta Fisheries Center
- Cooper Tract
- Denmark Forest
- Dorothy Warnell Research, Education and Demonstration Forest
- Fiber Supply Assessment
- GIS and Spatial Analysis Lab
- Hardman Memorial Park
- Herpetology Lab
- Oconee Forest Park
- Pete Phillips Laboratory for Nutrient Cycling Science
- Tree Health Care Outreach Laboratory
- Thompson Mills Forest (State Arboretum)
- Watson Springs Forest
- Whitehall Forest
- Wildlife Damage Laboratory
- Centers
- Center for Forest Business
- Center for Invasive Species and Ecosystem Health
- Consortium for Accelerated Pine Productivity Studies (CAPPS)
- Piedmont-South Atlantic Coast Cooperative Ecosystem Studies Unit (PSAC CESU)
- Plantation Management Research Cooperative (PMRC)
- Southern Forest Research Partnership (SFRP)
- Southern Regional Extension Forestry
- Timber Mart-South
- Wood Quality Consortium
- USDA Animal and Plant Health Inspection Service (APHIS)
- USGS Georgia Cooperative Fish and Wildlife Unit
- USGS Patuxent Wildlife Research Center
- Faculty
Research
Combinatorial Optimization of Forest Plans
Sustainable management and planning of forests may involve approaches that accommodate broad economic, ecological, and social goals, and thus acknowledge or utilize complex functional relationships between the growth and harvest of trees and other resource values. These relationships may be non-linear, contain conditional functions, or use spatial data, and are often too complex to be addressed with classical optimization techniques such as linear or mixed integer programming. This area of research involves evaluating the effectiveness of heuristic methods for addressing combinatorial forest planning problems. Recent research has involved incorporating fire behavior into forest plans, optimizing fuels management treatments across a landscape, accommodating green-up and adjacency constraints, and assessing the usefulness of new heuristic methods or combinations of methods. For more information, please contact Dr. Pete Bettinger (pbettinger@warnell.uga.edu).